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Personal Competence
  • Perceive their own learning ability and willingness to learn.
  • Communicate independently, reflect on their own behavior and carry out an appropriate self-assessment.
  • Take on responsibility through self-discipline, flexibility and target orientation.
  • Are characterized by their full commitment, duteousness and reliability.
  • Represent their independence and self-motivation and thereby positively influence their determination to be top performers.
Social Competence
  • Understand the oral presentation by the lecturer (input, questions and solutions) and pay attention to the remarks of their fellow students.
  • Operate partly in partner work on solutions to exercises given by the lecturer, as well as in group work in self-study.
  • Assess suggestions for solutions by fellow students, evaluate their own approaches to solutions (ability to criticize).
  • Distinguish themselves through capacity for teamwork, communication skills and cooperation skills.
  • Represent and justify their own approaches to solutions during criticism by the lecturer or fellow students (ability to accept criticism).
Methodological Competence
  • explain the framework of statistical reasoning.
  • judge the benefits and limits of statistical methods and conclusions.
  • summarize the results and conclusions of statistical analyses in a precise way.
  • select statistical procedures according to given situations and questions.
  • apply standard techniques in new situations and adapt the procedures.
  • appraise the content and the limits of statistical analyses in publications.
Professional Competence
Lecture Series ''Testing and Estimating''

  • represent the distributions of random variables graphically.
  • calculate moments of random variables and interpret them in a given context.
  • explain the framework of testing hypotheses and estimating parameters.
  • apply basic testing and estimating procedures and generalize the conclusions correctly.
  • criticize the assumptions of basic testing and estimating procedures.
  • derive the minimal sample size for basic testing and estimating procedures.

Lecture Series ''Multiple Linear Regression''

  • apply the ordinary least squares method to derive estimators.
  • analyze and compare the statistical properties of estimators.
  • explain the classical linear model assumptions.
  • run the calculations of a multiple linear regression for toy examples with small data sets by hand.
  • interpret the software outputs of multiple linear regression for application examples in the given context.
  • use model diagnostics to check the assumptions and to judge the quality of adapted models.
  • apply inference procedures in multiple linear regression models.
  • compare the advantages and disadvantages of different inference procedures.
  • construct testing procedures for multiple linear constraints in multiple linear regression models.
  • apply specification techniques to improve the quality of models.
  • apply selection techniques to choose appropriate models.
Personal Competence
  • Ein persönliches Veränderungsprojekt erfolgreich meistern.
  • Die emotionale Seite im Rahmen persönlicher Veränderungsprojekte verstehen lernen.
  • Die Wechselwirkung zwischen persönlicher und organisatorischer Veränderung erkennen und damit umgehen lernen.
Social Competence
  • Wirksame Teams für Veränderungsprojekte zusammenstellen.
  • Kollektive Lernprozesse in Organisationen fördern.
Methodological Competence
  • Instrumente des Change Managements auf konkrete Fallbeispiele anwenden.
  • Kritische Erfolgsfaktoren in der Organisationsentwicklung identifizieren und anwenden.
Professional Competence
  • Komplexität innerhalb und ausserhalb einer Organisation analysieren.
  • Quellen von Komplexität und Auswirkungen in Unternehmen beschreiben.

  • Grundbegriffe des Change Managements erklären und abgrenzen.
  • Zusammenhang zwischen Wandel im Unternehmensumfeld und Wandel im Unternehmen aufzeigen.
  • Instrumente des Change Managements auf konkrete Fallbeispiele anwenden.
  • Kritische Erfolgsfaktoren in der Organisationsentwicklung identifizieren und anwenden.

  • Lernprozesse im organisatorischen Wandel erkennen.
  • Bausteine von Corporate Entrepreneurship beschreiben.
  • Gemeinsamkeiten und Unterschiede zwischen Start-Up- und Corporate Entrepreneurship beschreiben.
  • Corporate Entrepreneurship in einer reifen und grossen Organisationen implementieren.
Personal Competence
  • Erlernen echter Selbständigkeit.
  • Leistungsbereitschaft, Zuverlässigkeit und Engagement.
  • Fähigkeit, das eigene Lernen zu reflektieren und zu steuern.
  • Selbstmanagement, Organisationsfähigkeit.
  • Zeitmanagement.
Social Competence
  • Führungskompetenz innerhalb der Gruppe.
  • Kommunikationsfähigkeit durch Einzel- und Gruppenvorträge.
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